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Redis

Data structures, persistence, pub/sub, streams, and clustering

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  1. 00 Redis — Roadmap An in-memory data structure store: cache, queue, lock, and primary store all in one.
  2. 01 What Redis Is & the Core Model An in-memory key-value store with a single-threaded event loop and a dead-simple wire protocol.
  3. 02 Core Data Structures Strings, hashes, lists, sets, sorted sets — and the specialized types that ride on top of them.
  4. 03 Keys, Expiration & Eviction Naming, TTLs, how Redis reclaims expired keys, and what happens when memory fills up.
  5. 04 Persistence: RDB & AOF How an in-memory store survives a restart, and what 'durable' really buys you.
  6. 05 Pub/Sub & Streams Fire-and-forget messaging versus a durable, replayable log with consumer groups.
  7. 06 Redis as Cache, Queue & Distributed Lock Three workhorse patterns — and the sharp edges hiding in each.
  8. 07 Transactions & Lua Scripting MULTI/EXEC, optimistic locking with WATCH, and atomic multi-step logic with Lua.
  9. 08 Replication, Sentinel & Cluster From one node to many: copies, automatic failover, and sharding across hash slots.
  10. 09 Operating Redis in Production Memory, latency, monitoring, security, and the pitfalls that take instances down.